April, 2020 Community Call - Metadata acquisition in smFISH
Presenters:
Simone Codeluppi
Slides:
Video recording:
Summary
Key learnings
- 3 different smFISH experiments used in Karolinska for different purpose : serial, barcoded and combination of the two
- Metadata is acquired on : Experimental, sample, data acquisition, data mining, data atlasing, storage
Needs from the community
- Agree on a format(s) for different types of metadata
- Metadata about storage is important for quality control of tissue sample
- Collect metadata about the code run to understand the processing of results
Ideas for how to action
- Differentiate between searchable and non-searchable metadata
- Explore options for formats of different metadata - for example gene panels, logs from fluidic system, from microscope
- Ensure can support imaging experiments
- Ensure can support code metadata (if collecting analyzed results)